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Titlebook: Handbook of Theory and Research in Cultural Studies and Education; Peter Pericles Trifonas Living reference work 20200th edition cultural

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樓主: corrode
11#
發(fā)表于 2025-3-23 11:20:08 | 只看該作者
Youth Consumption of Media and the Need for Critical Media Literacy in the Time of Liquid Modernity to make sense of the ways in which media is influencing their own self-identity, as well as their views of others and the ways that they work to understand those who may be different than they are. Looking at the ways in which these two major forces combine, the need for critical media literacy in schools becomes clear.
12#
發(fā)表于 2025-3-23 16:57:58 | 只看該作者
13#
發(fā)表于 2025-3-23 18:19:07 | 只看該作者
An Ecology of Environmental Education,l transformations of the discipline; (3) ecological issues; and (4) pedagogical imperatives. The resulting historicity takes into account initiatives from UNESCO to Agenda 21 and NAAEE to provide an ecology of environmental education.
14#
發(fā)表于 2025-3-23 22:42:58 | 只看該作者
Antti Saarichapters are written in tandem by an ecologist and an econom.This book integrates decision-making and environmental science. For ecologists it will bridge the gap to economics. For practitioners in environmental economics and management it will be a major reference book. It probably contains the lar
15#
發(fā)表于 2025-3-24 03:49:52 | 只看該作者
16#
發(fā)表于 2025-3-24 06:31:10 | 只看該作者
17#
發(fā)表于 2025-3-24 12:17:18 | 只看該作者
18#
發(fā)表于 2025-3-24 15:06:39 | 只看該作者
19#
發(fā)表于 2025-3-24 21:18:19 | 只看該作者
Alana Butler,Cathryn Teasley,Concepción Sánchez-Blancoplications of GANs, making it an excellent resource for beginners.?.A Primer on Generative Adversarial Networks.?is suitable for researchers, developers, students, and anyone who wishes to learn about GANs. It is assumed that the reader has a basic understanding of machine learning and neural networ
20#
發(fā)表于 2025-3-25 00:23:43 | 只看該作者
Kurt Thumlert,Jason Nolandataset. The chapter will discuss the difference between generative and discriminative models, an overview of the basic architecture of GANs, which consists of a generator and a discriminator, and how they are trained using an adversarial process. We also discuss the weaknesses of GANs and highlight
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